Identification of SVM-based classification model, synthesis and evaluation of prenylated flavonoids as vasorelaxant agents
摘要:
Support vector machine (SVM) was applied to predict vasorelaxation effect of different structural molecules. A good classification model had been established, and the accuracy in prediction for the training, test, and overall datasets was 93.0%, 82.6%, and 89.5%, respectively. Furthermore, the model was used to predict the activity of a series of prenylated flavonoids. According to the estimated result, eleven molecules 1-11 were selected and synthesized. Their vasodilatory activities were determined experimentally in rat aorta rings that were pretreated with phenylephrine ( PE). Structure-activity relationship (SAR) analysis revealed that flavanone derivatives showed the most potent activities, while flavone and chalcone derivatives exhibited medium activities. (C) 2008 Elsevier Ltd. All rights reserved.
Synthesis, biological evaluation of prenylflavonoids as vasorelaxant and neuroprotective agents
摘要:
A series of prenylflavonoids with multiple hydroxyl groups were synthesized and evaluated for their vasorelaxant activities against rat aorta rings pre-contracted by phenylephrine (PE), as well as their neuroprotective effects against OGD induced PC12 cell injury. The results indicated that the prenyl group at A-ring of prenylflavonoids, as well as hydroxyl groups at B-ring was important for their activities. (+/-)Leachianone G 1b, bearing 8-prenyl and 2',4'-dihydoxyl groups, exhibited the most potent vasorelaxant and neuroprotective effects. (C) 2009 Elsevier Ltd. All rights reserved.